Defect Detection
AI defect detection answers a problem rules cannot: flaws that never look the same twice, shift position, and hide in background texture. These deployments show manufacturers training detection from a handful of labelled images, then holding accuracy as new defect types appeared.
AI Inspection Solution for Semiconductor Wafers
Using SolVision’s AI Inspection Solution, minute defects such as fine scratches can be located and marked on sample images to train the AI model.
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Inspecting Safety Certification Marks
Inspecting Safety Certification Marks. Solomon SolVision's AI automated detection of defective certification marks.
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Visual Inspection of Semiconductor Carrier Trays
Automated defect detection with artificial intelligence. Visual Inspection of Semiconductor Carrier Trays.
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AI Inspections for Multilayer Ceramic Capacitors (MLCC)
SolVision detects defective electrodes on passive electronic components to significantly improve overall production yield.
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Automating Quality Inspection of Lead Frames
As semiconductor manufacturing becomes more sophisticated, the process of creating lead frames needs to improve in accuracy and yield.
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Detecting Adhesion Defects in Semiconductors
Excessive adhesive may remain on the chip or overflow on the circuit board and cause the chip to tilt, affecting stability of the whole semiconductor package.
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Automating Semiconductor Wafer Inspections
Faulty wafers also usually have subtle defects randomly scattered on the surface, and this prevents AOI systems from setting rules for efficient inspections.
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Visual Inspection of Automotive Weld Beads
Powered by AI, SolVision deep learning software trains an AI model by simulating potential weld bead defects in random brightness conditions.
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Inspecting Semiconductor Packaging Processes
SolVision enables visual inspection through AI image analysis, strengthening the reliability of displacement and angle information to recognize defective products and errors in the die bonding process.
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AI Inspection of Stamped Metal Parts
There are many types of defects that may appear differently each time on the stamped parts, in particular oil or water stains, which are not easily detected.
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